A machine learning approach to identify important variables for distinguishing between fallers and non-fallers in older women.
Falls are a significant ongoing public health concern for older adults. At present, few studies have concurrently explored the influence of multiple measures when seeking to determine which variables are most predictive of fall risks. As such, this cross-sectional study aimed to identify those funct...
| Published in: | PLoS ONE |
|---|---|
| Main Authors: | , , , |
| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2023-01-01
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| Online Access: | https://doi.org/10.1371/journal.pone.0293729 |